The most useful Redis pattern I've found for real-time data: write with explicit TTLs and let stale data expire naturally instead of invalidating. If your writer dies, the data expires on its own within the TTL window. No stale data served indefinitely. Simple but surprisingly hard to break
That's exactly the bet we're making. The Redis/Valkey ecosystem has enough sprawl - a tool that does one thing well and stays out of the way is what we'd want to use ourselves.
The most useful Redis pattern I've found for real-time data: write with explicit TTLs and let stale data expire naturally instead of invalidating. If your writer dies, the data expires on its own within the TTL window. No stale data served indefinitely. Simple but surprisingly hard to break
Show HN projects that solve one specific workflow problem tend to outlast the ambitious all-in-one tools. Scope is a feature.
That's exactly the bet we're making. The Redis/Valkey ecosystem has enough sprawl - a tool that does one thing well and stays out of the way is what we'd want to use ourselves.
Exciting! Good luck!
Thank you!